Staff Software Engineer, People Products

Anthropic · Remote-Friendly (Travel Required) | San Francisco, CA · Engineering & Design - Product · listed February 13, 2026

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The shape of it

Seniority

Staff

Experience asked

8+ years

Where

Hybrid

Stated pay

$320,000 – $405,000 USD

Requirements listed

Length

1,403 words

In the posting’s own words

In case you hadn’t noticed, Anthropic is growing fast. Really, really fast. The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions.

What it asks for · 3

Have 8+ years of relevant experience as a Fullstack or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent
Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Also a plus

Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
Background at an AI-native company or in a product-focused 0->1 engineering environment.
Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

What the job covers

Build full-stack end-to-end across the People Products portfolio.
Design and implement AI-native workflows: build tools, evals, prompts, and products. You’ll help define what is possible in applied AI for people processes.
Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

Tools and skills named

Models & research

LLM3×
Evaluations2×

Ways of working

Cross-functional

Words the posting leans on

people14×
build9×
products9×
decisions5×
directly5×
experience5×
production5×
ai-native4×
along4×
applied4×
customers4×
end-to-end4×
feedback4×
hard4×
idea4×
independently4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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